Nervgen Pharma (NGEN) Selling, General & Administrative (2025 - 2026)
Nervgen Pharma's Selling, General & Administrative was $3.11 million in the quarter ended Jun 30, 2026, up 14.8% from $2.71 million a year earlier and up 60.0% from the prior quarter.
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Analysis
Nervgen Pharma (NGEN) Selling, General & Administrative (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nervgen Pharma's Selling, General & Administrative was $9.78 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $8 million, up 16.9% from the prior year.
- In earlier years, Selling, General & Administrative was $6.84 million in the year ended Dec 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Nervgen Pharma | 141.78 Mn | 141.78 Mn | - | 3.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.11 Mn |
| Mar 31, 2026 | 1.95 Mn |
| Jun 30, 2025 | 2.71 Mn |
| Mar 31, 2025 | 2.01 Mn |
API Access
Nervgen Pharma Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NGEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();